Analytical framework for determinants of HTA recommendations
This framework identifies and organizes the key factors that influence health technology assessment (HTA) recommendations across different countries and settings. It is based on analysis of real-world data from HTA agencies and helps understand why decisions on funding or coverage of health technologies differ internationally.
At a glance
Use when
Conducting cross-jurisdictional comparisons of HTA decisions, designing MCDA models, supporting policy development, or investigating reasons for divergent HTA outcomes.
Avoid when
When a quantitative prediction model of HTA outcomes is required, or when only local, single-jurisdiction insights are needed without comparative intent.
Inputs
Primary data from interviews with HTA agencies; secondary data from HTA reports, policy documents, and decision records across multiple jurisdictions.
Outputs
A structured framework categorizing determinants of HTA recommendations, with thematic domains and sub-factors influencing decision-making.
How it works
An analytical framework developed within the IMPACT HTA H2020 project (Work Package 7, Deliverable 7.1) that maps determinants of HTA recommendations using primary data collection and primary analysis of secondary data. The framework categorizes factors influencing HTA decisions into domains such as clinical, economic, organizational, patient-reported, and broader societal aspects, enabling comparative analysis across jurisdictions and technologies.
- Project
- IMPACT HTA
- Funding
- Horizon 2020
- Project status
- Completed 2021
- HTA domains
- Aspects Beyond HTA
- Categories
- Appraisal
- Technology
- Medicines
- Assumptions
- HTA decisions are influenced by a combination of technical evidence and contextual factors; these determinants can be systematically identified and compared across settings.
- Strengths
- Based on empirical data collection across multiple HTA systems; enables transparency in understanding decision-making variability; supports development of multi-criteria decision analysis (MCDA) tools.
- Limitations
- Findings may not be generalizable to all health systems; reliance on self-reported data from agencies may introduce bias; framework does not quantify the weight of each determinant.
- Also known as
- Framework on determinants of HTA recommendations, IMPACT HTA Deliverable 7.1, Analytical framework for HTA determinants
Questions this answers
- › What factors influence HTA agencies' decisions to recommend or not recommend a health technology?
- › Why do different countries reach different conclusions about the same technology?
- › How do clinical, economic, and social factors weigh in HTA decisions across settings?
- › What role do organizational or system-level factors play in coverage decisions?
- › How can we compare HTA decision-making processes across countries?
- › What non-clinical factors affect access to new health technologies?
Similar by meaning
Beta record. Generated from the primary source via AI extraction and independent audit, pending final human review.